Kling AI Production Checklist

Kling AI Production Checklist

Overview

Checklist covering authentication, error handling, cost controls, monitoring, security, and content policy before deploying Kling AI video generation to production.

Authentication

• AK/SK stored in secrets manager (not .env in repo)
• JWT auto-refresh with 5-min buffer before 30-min expiry
• Separate API keys per environment (dev/staging/prod)
• Key rotation schedule (quarterly minimum)
• Authorization: Bearer <token> format verified

Error Handling

• HTTP 400/401/402/403/429/5xx all handled
• Exponential backoff with jitter for 429/5xx retries
• Max retry limit set (3-5, not infinite)
• task_status: "failed" logs task_status_msg
• 30s timeout on all HTTP calls
• duration sent as string "5" not integer 5

Cost Controls

• Daily credit budget enforced in code
• Alert at 80% daily budget consumption
• standard mode used for non-final renders
• Max poll attempts cap (no infinite loops)
• Credit estimate before batch submission

# Pre-batch credit check
credits_needed = len(prompts) * 10  # 10 credits per 5s standard
if credits_needed > DAILY_BUDGET:
    raise RuntimeError(f"Batch needs {credits_needed}, budget is {DAILY_BUDGET}")

Task Management